The report places the UK ahead of its G7 counterparts in terms of AI adoption but also underscores areas ripe for improvement, such as support for SMEs, fostering cross-sector partnerships, and investing in talent development.

Zahra Bahrololoumi CBE, UKI CEO at Salesforce, commented: “Agentic AI is revolutionising enterprise software by enabling humans and agents to collaborate seamlessly and drive customer success.

“The UK AI Readiness Index positively highlights that the UK has both the vision and infrastructure to be a powerhouse globally in AI, and lead the current third wave of agentic AI.”

UK AI adoption sets the stage for agentic revolution

The Index details how both the public and private sectors in the UK have embraced AI’s transformative potential. With a readiness score of 65.5, surpassing the G7 average of 61.2, the UK is establishing itself as a hub for large-scale AI projects, driven by a robust innovation culture and pragmatic regulatory approaches.

The government has played its part in maintaining a stable and secure environment for tech investment. Initiatives such as the AI Safety Summit at Bletchley Park and risk-oriented AI legislation showcase Britain’s leadership on critical AI issues like transparency and privacy.

Business readiness is equally impressive, with UK industries scoring 52, well above the G7 average of 47.8. SMEs in the UK are increasingly prioritising AI adoption, further bolstering the nation’s stance in the international AI arena.

Adam Evans, EVP & GM of Salesforce AI Platform, is optimistic about the evolution of agentic AI. Evans foresees that, by 2025, these agents will become business-aware—expertly navigating industry-specific challenges to execute meaningful tasks and decisions.

Investments fuelling AI growth

Salesforce is committing $4 billion to the UK’s AI ecosystem over the next five years. Since establishing its UK AI Centre in London, Salesforce says it has engaged over 3,000 stakeholders in AI training and workshops.

Key investment focuses include creating a regulatory bridge between the EU’s rules-based approach and the more relaxed US approach, and ensuring SMEs have the resources to integrate AI. A strong emphasis also lies on enhancing digital skills and centralising training to support the AI workforce of the future.

Feryal Clark, Minister for AI and Digital Government, said: “These findings are further proof the UK is in prime position to take advantage of AI, and highlight our strength in spurring innovation, investment, and collaboration across the public and private sector.

“There is a global race for AI and we’ll be setting out plans for how the UK can use the technology to ramp-up adoption across the economy, kickstart growth, and build an AI sector which can scale and compete on the global stage.”

Antony Walker, Deputy CEO at techUK, added: “To build this progress, government and industry must collaborate to foster innovation, support SMEs, invest in skills, and ensure flexible regulation, cementing the UK’s leadership in the global AI economy.”

Agentic AI boosting UK business productivity 

Capita, Secret Escapes, Heathrow, and Bionic are among the organisations that have adopted Salesforce’s Agentforce to boost their productivity.

Adolfo Hernandez, CEO of Capita, said: “We want to transform Capita’s recruitment process into a fast, seamless and autonomous experience that benefits candidates, our people, and our clients.

“With autonomous agents providing 24/7 support, our goal is to enable candidates to complete the entire recruitment journey within days as opposed to what has historically taken weeks.

Secret Escapes, a curator of luxury travel deals, finds autonomous agents crucial for personalising services to its 60 million European members.

Kate Donaghy, Head of Business Technology at Secret Escapes, added: “Agentforce uses our unified data to automate routine tasks like processing cancellations, updating booking information, or even answering common travel questions about luggage, flight information, and much more—freeing up our customer service agents to handle more complex and last-minute travel needs to better serve our members.”

The UK’s AI readiness is testament to the synergy between government, business, and academia. To maintain its leadership, the UK must sustain its focus on collaboration, skills development, and innovation. 

(Photo by Matthew Wiebe)

See also: Generative AI use soars among Brits, but is it sustainable?

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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The study, which polled nearly 700 IT experts, highlights security as the paramount concern. An overwhelming 72% of respondents emphasised the critical need for measures to secure infrastructure. Privacy follows closely behind, with 64% of IT professionals urging for more robust rules to protect sensitive information.

Rob Johnson, VP and Global Head of Solutions Engineering at SolarWinds, commented: “It is understandable that IT leaders are approaching AI with caution. As technology rapidly evolves, it naturally presents challenges typical of any emerging innovation.

“Security and privacy remain at the forefront, with ongoing scrutiny by regulatory bodies. However, it is incumbent upon organisations to take proactive measures by enhancing data hygiene, enforcing robust AI ethics and assembling the right teams to lead these efforts. This proactive stance not only helps with compliance with evolving regulations but also maximises the potential of AI.”

The survey’s findings come at a pivotal moment, coinciding with the implementation of the EU’s AI Act. In the UK, the new Labour government recently proposed its own AI legislation during the latest King’s speech, signalling a growing recognition of the need for regulatory frameworks. In the US, the California State Assembly passed a controversial AI safety bill last month.

Beyond security and privacy, the survey reveals a broader spectrum of concerns amongst IT professionals. A majority (55%) believe government intervention is crucial to stem the tide of AI-generated misinformation. Additionally, half of the respondents support regulations aimed at ensuring transparency and ethical practices in AI development.

Challenges extend beyond AI regulation

However, the challenges facing AI adoption extend beyond regulatory concerns. The survey uncovers a troubling lack of trust in data quality—a cornerstone of successful AI implementation.

Only 38% of respondents consider themselves ‘very trusting’ of the data quality and training used in AI systems. This scepticism is not unfounded, as 40% of IT leaders who have encountered issues with AI attribute these problems to algorithmic errors stemming from insufficient or biased data.

Consequently, data quality emerges as the second most significant barrier to AI adoption (16%), trailing only behind security and privacy risks. This finding underscores the critical importance of robust, unbiased datasets in driving AI success.

“High-quality data is the cornerstone of accurate and reliable AI models, which in turn drive better decision-making and outcomes,” adds Johnson. “Trustworthy data builds confidence in AI among IT professionals, accelerating the broader adoption and integration of AI technologies.”

The survey also sheds light on widespread concerns about database readiness. Less than half (43%) of IT professionals express confidence in their company’s ability to meet the increasing data demands of AI. This lack of preparedness is further exacerbated by the perception that organisations are not moving swiftly enough to implement AI, with 46% of respondents citing ongoing data quality challenges as a contributing factor.

As AI continues to reshape the technological landscape, the findings of this SolarWinds survey serve as a clarion call for both stronger regulation and improved data practices. The message from IT professionals is clear: while AI holds immense promise, its successful integration hinges on addressing critical concerns around security, privacy, and data quality.

(Photo by Kelly Sikkema)

See also: Whitepaper dispels fears of AI-induced job losses

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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The whitepaper, titled “Unlocking Data, Unlocking People: Harnessing the Power of AI to Transform Your Business,” launched today at Scale Space White City in London’s White City Innovation District. It argues that AI can actually be a catalyst for growth, rather than a threat to jobs.

Despite evidence to the contrary, the study also reveals a lingering fear of AI among UK business leaders. 

A YouGov survey commissioned by Automated Analytics found that over half of senior decision-makers still believe AI will eliminate more jobs than it creates. Only 17% believe AI will create more jobs than it eliminates. 

This hesitancy, the report warns, could have serious consequences for the UK economy. As US firms increasingly embrace AI, British businesses risk being left behind. Mark Taylor, CEO of Automated Analytics, argues that the UK needs to shift its focus from regulation to innovation in order to remain competitive.

“AI is not about replacing jobs; it’s about enhancing productivity and creating new opportunities,” says Taylor. “Our whitepaper provides concrete examples of how AI can drive growth, efficiency, and competitiveness. The UK cannot afford to lag behind in this critical area.”

The whitepaper highlights several case studies demonstrating the positive impact of AI on businesses:

• British Gas’ Dyno-Rod: AI helped to halve the number of service calls by improving understanding of customer journeys, providing franchise operations with 100% visibility.
• Pizza Hut (US): Restaurant Management Group, the fourth-largest US franchisee, used AI to reduce recruitment costs by $1 million and increase hires by 42%.
• Fourth (UK): The hospitality recruitment firm saw a 220% increase in candidate flow and a drastic reduction in cost-per-application within 30 days of implementing its AI-driven TalentTrack software.

Taylor also expressed concern over the cultural differences between the US and UK in embracing new technologies. 

“The US is leading the charge in AI adoption, while the UK remains overly focused on regulation. This whitepaper demonstrates that many fears surrounding AI are unfounded and that it can play a crucial role in driving the UK’s economic growth.”

The whitepaper serves as a call to action for UK businesses to embrace AI as a vital tool for driving innovation and competitiveness in the global market. While it’s clear that businesses must adopt AI responsibly, the whitepaper should help to dispel fears of mass job losses.

A copy of the whitepaper can be found here (registration required.)

(Photo by Ruthson Zimmerman)

See also: UK signs AI safety treaty to protect human rights and democracy

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

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McKinsey notes that organisations that report using AI in at least one business area have more than doubled since 2017.

The most significant jump in adoption was between 2017 (20%) and 2018 (47%). A peak was reached in 2019 (58%) but has since tailed off to 50% in 2022.

Considering the plateau includes the pandemic years – when businesses were largely expected to increase their adoption of automation technologies – the overall decline in AI adoption will come as a surprise to many.

Of the organisations that have adopted AI, most have literally doubled down. In 2018, the average number of AI capabilities that organisations have embedded was 1.9. In 2022, that’s increased to 3.8.

Businesses are subsequently allocating more of their budgets to AI.

In 2018, 40 percent reported more than five percent of their budgets went on AI. In 2022, that’s bumped up to 52 percent. 63 percent of respondents expect to further increase their investments over the next three years.

Robotic process automation (39%) leads as the area where most organisations are using AI. This is followed by computer vision (34%), natural-language text understanding (33%), virtual agents/chatbots (33%), and deep learning (30%) to round out the top five.

In terms of use cases, organisations are predominantly using AI to optimise service operations (24%). The creation of new AI-based products (20%), customer service analytics (19%), customer segmentation (19%), and AI enhancements of products (19%) round out the leading five use cases.

You can find a full copy of State of AI 2022 here.

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Few businesses are at the top of the “AI maturity curve,” according to Cognizant’s framework. Just 20 percent are considered AI leaders while the majority (61%) are “implementers” (defined as making progress, but not yet mature) or beginners (19%).

Respondents in the mature stages of the AI curve are more likely to be positive about the impact of the technology on their business. 81 percent of leaders, but only 20 percent of beginners and implementers, believe AI investments are highly effective in driving performance.

Similarly, 78 percent of the AI leaders expect AI to have a substantially positive impact on their business by 2023—compared to just 32 percent of the remaining companies.

The following trilemma is preventing greater maturity in Cognizant’s view:

• A failure to appreciate AI’s decision-making potential
• Low trust
• Limited use in decision-making

On the first point, once again there’s a large disparity in views between AI leaders and the rest.

Nine in 10 leaders view AI as “the great story of our time,” while just four in 10 of the beginners and implementers share the sentiment. Over 90 percent of AI leaders approve of the technology’s potential to flag early warning signs and for analysing large amounts of data.

Among the others, only 50 percent of respondents believe AI is useful for predicting outcomes and just 33 percent for understanding large datasets.

Trust in AI (and software in general for making important decisions) is on the decline following a series of high-profile failures, especially during the pandemic.

A separate study published last week by BCS, The Chartered Institute for IT, found missteps – including the crisis in the UK last summer when an algorithm was used to estimate the grades of students – has damaged trust in AI.

Cognizant’s research finds that experience with AI leads to greater trust in the technology’s ability to make competent decisions. However, building this trust will take time.

Interestingly, there’s a difference between the AI leaders and others in what they’re using the technology for the most.

AI leaders are using the technology for predicting outcomes, followed by understanding unstructured data. Other companies are using AI most for understanding data, followed by a similar percentage for predicting outcomes, gathering real-time intelligence, and finding new insights.

Companies in all three stages of AI maturity are currently using AI the technology most for chatbots. The only purposes for which other companies are using AI as much, or slightly more, than the leaders are for human call centre support, facial recognition, perimeter security, and intelligent agents.

To help companies break the vicious cycle and advance their AI maturity, Cognizant makes three key recommendations: plan purposeful steps, go beyond the “low-hanging fruit” and embrace a broader range of AI solutions, and make deployments more human-centric.

A full copy of Cognizant’s research, Data modernization: breaking the AI vicious cycle for superior decision-making, can be found here.

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Find out more about Digital Transformation Week North America, taking place on 9-10 November 2021, a virtual event and conference exploring advanced DTX strategies for a ‘digital everything’ world.

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Juniper surveyed 700 global IT decision-makers for its research and found that most (67%) executives have AI as a top strategic priority for 2021.

95 percent of the respondents believe their organisation would benefit from increasing the use of AI in their daily operations. 82 percent claim it makes employees more productive and 74 percent say it improves staff happiness.

However, integrating AI remains a challenge. 73 percent of respondents claim their organisation is struggling with adoption due to issues preparing and expanding their workforce to integrate AI systems.

Sharon Mandell, SVP and CIO at Juniper Networks, said:

“As a CIO, when I see so much interest in an emerging technology, I always need to remind people there are pitfalls if it’s not managed correctly.

For artificial intelligence, there is no doubt that there is light at the end of the challenge-filled tunnel, and significant potential to generate even more meaningful and incredible outcomes than we’ve seen so far.”

European organisations are leading the way in upskilling and expanding their workforce through partnerships with universities and internships. Juniper notes this is happening at a higher rate in Europe than both North America and Asia-Pacific.

“By focusing on upskilling their workforce, investing in strong infrastructure – including data, cloud and networking capabilities – and implementing enterprise-wide AI governance, organisations are preparing for the digital workforce of tomorrow,” explains Mandell.

The EU has recently published tough regulations around AI, with hefty penalties for perceived misuse. The regulations have polarised opinion with some arguing they’re needed to protect citizens, while others believe they’ll drive AI innovations outside of Europe.

A statement released last year by the White House’s Office of Science and Technology Policy reads:

“Europe and our allies should avoid heavy-handed innovation-killing models, and instead consider a similar regulatory approach.

The best way to counter authoritarian uses of AI is to make sure America and our international partners remain the global hubs of innovation, shaping the evolution of technology in a manner consistent with our common values.”

59 percent of the respondents to Juniper’s survey believe humans are in control of AI but that “more needs to be done to effectively govern AI as it continues to grow.”

Despite most (87%) believing it’s their organisation’s responsibility to govern AI, just six percent have established a company-wide leader for overseeing strategy and governance.

Juniper’s research provides various interesting insights into the AI landscape, but it’s the apparent lack of governance policies by many organisations which raises serious concerns. With increasing regulations around the use of AI, many enterprises are at-risk of facing severe penalties.

A full copy of Juniper’s report can be found here (PDF)

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Independent research firm Corinium Intelligence conducted the study on behalf of ModelOp and aims to summarise the state of model operationalisation today.

Stu Bailey, Co-Founder and Chief Enterprise AI Architect at ModelOp, said:

“As the report shows, enterprises increasingly view ModelOps as the key to ensuring operational excellence and maximising value from their AI initiatives, in the same way that DevOps, ITOps, and SecOps have for the development, IT, and cybersecurity sectors.”

According to the survey of 100 AI-focused executives from F100 and global financial services companies—each enterprise has an average of 270 models in production.

Despite the rapid uptake, 80 percent report that difficulty in managing risk and ensuring compliance is a key barrier to adoption. With increasingly strict AI regulations – such as those being drafted by the EU – this figure could increase without robust solutions.

Improving the enforcement of AI governance processes is noted by 69 percent of respondents as a key reason for investing in a ModelOps platform

Bailey explains:

“Experience has shown that creating AI models is only half the battle. Operationalising models – getting them into production, keeping them functioning properly and within guidelines for compliance and risk, and demonstrating their business value – is the next frontier as organisations mature and scale their AI initiatives.”

Data scientists at the surveyed organisations are using an average of 5-7 different tools for developing models—highlighting the potential for streamlining operations. Just 25 percent rate their existing processes as “very effective” for inventorying production models.

76 percent of respondents say the cost reductions associated with a ModelOps platform is a “very important” benefit for such an investment. 42 percent describe it as crucial.

Skip McCormick, Data Science Fellow at BNY Mellon, commented: “ModelOps is the next logical step after DevOps. We’re looking for a systematic way to make sure that the models we’re putting into play actually do what they should do.”

Overall, 90 percent of respondents expect to have a dedicated ModelOps budget within 12 months.

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CDEI advises the government on the responsible use of AI and data-driven technologies. Between June and December 2020, the advisory body polled over 12,000 people to gauge sentiment around how such technologies are being used.

Edwina Dunn, Deputy Chair for the CDEI, said:

“Data-driven technologies including AI have great potential for our economy and society. We need to ensure that the right governance regime is in place if we are to unlock the opportunities that these technologies present.

The CDEI will be playing its part to ensure that the UK is developing governance approaches that the public can have confidence in.”

Close to three quarters (72%) of respondents expressed confidence in digital technology having the potential to help tackle the pandemic—a belief shared across all demographics.

A majority (~69%) also support, in principle, the use of technologies such as wearables to assist with social distancing in the workplace.

Wearables haven’t yet been used to help counter the spread of coronavirus. The most widely deployed technology is the contact-tracing app, but its effectiveness has often come into question.

Many people feel data-driven technologies are not being used to their full potential. Under half (42%) believe digital technology is improving the situation in the UK. Seven percent even think current technologies are making the situation worse.

The scepticism expressed about the use of digital technologies in tackling the pandemic is less about the technology itself – with just 17 percent of respondents expressing that view – and more a lack of faith in whether it will be used by people and organisations properly (39%).

John Whittingdale, Minister of State for Media and Data at the Department for Digital, Culture, Media and Sport, commented:

“We are determined to build back better and capitalise on all we have learnt from the pandemic, which has forced us to share data quickly, efficiently and responsibly for the public good. This research confirms that public trust in how we govern data is essential. 

Through our National Data Strategy, we have committed to unlocking the huge potential of data to tackle some of society’s greatest challenges, while maintaining our high standards of data protection and governance.”

When controlling for all other variables, the CDEI found that “trust that the right rules and regulations are in place” is the single biggest predictor of whether someone will support the use of digital technology.

Among the key ways to help improve public trust is by increasing transparency and accountability. Less than half (45%) of respondents know where to raise concerns if they feel digital technology is causing harm.

CDEI’s research highlighted that people, on the whole, believe data-driven technologies can help tackle the pandemic. However, work needs to be done to improve trust in how such technologies are deployed and managed.

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Of the 30 emerging technologies featured in Gartner’s latest Hype Cycle, nine are directly related to artificial intelligence:

• Generative adversarial networks
• Adaptive machine learning
• Composite AI
• Generative AI
• Responsible AI
• AI-augmented development
• Embedded AI
• Explainable AI
• AI-augmented design

Most of the AI technologies are currently in the initial “Innovation Trigger” part of the Hype Cycle, where excitement builds the fastest.

Responsible AI, AI-augmented development, embedded AI, and explainable AI, have all now reached the “Peak of Inflated Expectations” and will next move into the dreaded “Trough of Disillusionment” as disappointment sets in over what can realistically be achieved.

Only after the trough, which none of the AI technologies have yet reached, do we head into the areas of the Hype Cycle where adoption occurs with realistic expectations and the productivity rewards are reaped.

Gartner’s Hype Cycle covers the next decade. The current placings of most of the AI technologies on the Hype Cycle indicates that Gartner believes it won’t be until towards the end of the decade we’ll see the most benefits.

Brian Burke, VP of research at Gartner, comments:

“Emerging technologies are disruptive by nature, but the competitive advantage they provide is not yet well known or proven in the market. Most will take more than five years, and some more than 10 years, to reach the Plateau of Productivity.

But some technologies on the Hype Cycle will mature in the near term and technology innovation leaders must understand the opportunities for these technologies, particularly those with transformational or high impact.”

Two technologies which Gartner expects to fast-track through the Hype Cycle are health passports and social distancing technologies, due to their necessity amid the COVID-19 pandemic.

You can find the full Gartner report here (paywall)

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Musk has been among the most vocal prominent figures in warning about the dangers of artificial intelligence. In 2018, for example, Musk famously warned that AI could become “an immortal dictator from which we would never escape” and that the technology is more dangerous than nuclear weapons.

Speaking in a New York Times interview, Musk said that current trends suggest AI could overtake humans by 2025. However, Musk adds “that doesn’t mean that everything goes to hell in five years. It just means that things get unstable or weird.”

If correct, the latest prediction from Musk would mean the so-called technological singularity – when machine intelligence overtakes human – is set to happen much sooner than other experts predict. Ray Kurzweil, a respected futurist, has previously estimated the aforementioned singularity to occur around 2045.

As the founder of Tesla, SpaceX, and Neuralink – three companies which use AI far more than most – Musk isn’t against the technology, but has called for it to be regulated.

Musk also founded OpenAI back in 2015 with the goal of researching and promoting ethical artificial intelligence. Following disagreements with the company’s direction, Musk left OpenAI in 2018.

Back in February, Musk responded to an MIT Technology Review profile of OpenAI saying that it “should be more open” and that all organisations “developing advanced AI should be regulated, including Tesla.”

Last year, OpenAI decided not to release a text generator which it believed to have dangerous implications in a world already struggling with fake news and disinformation campaigns.

Two graduates later recreated and released a similar generator to OpenAI’s, with one saying that it “allows everyone to have an important conversation about security, and researchers to help secure against future potential abuses.”

OpenAI has since provided select researchers access to their powerful text generator. The latest version, GPT-3, has been making headlines in recent weeks for the incredible things it can achieve with limited input.

GPT-3 offers 175 billion parameters compared to GTP-2’s 1.5 billion parameters – which shows the rapid pace of AI advancements. However, Musk’s prediction of the singularity happening within five years perhaps needs to be taken with a pinch of salt.

(Image Credit: Elon Musk by JD Lasica under CC BY 2.0 license)

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AI is proving itself to be an important tool in tackling some of the biggest issues the world faces today; including coronavirus and climate change. However, some public distrust remains.

“The current pandemic has shown us more needs to be done to speed up the adoption of trusted AI around the world,” said Kay Firth-Butterfield, Head of Artificial Intelligence and Machine Learning at the World Economic Forum.

“We moved from guidelines to practical tools, tested and iterated them – but this is still just a start. Now we will be working to scale them to countries around the world.”

The guidelines released today aim to “help society tackle big data problems faster” while also preparing them for future risks. The UK government adopted the guidelines across its various departments.

“The UK is a global leader in AI and I am pleased we are working with the World Economic Forum and international partners to develop guidelines to ensure its safe and ethical deployment,” said Caroline Dinenage, Digital Minister of the United Kingdom.

“By taking a dynamic approach we can boost innovation, create competitive markets and support public trust in artificial intelligence. I urge public sector organisations around the world to adopt these guidelines and consider carefully how they procure and deploy these technologies.”

For the past year, the WEF has worked alongside the UK’s Office for AI; companies such as Deloitte, Salesforce, and Splunk; 15 other countries; and more than 150 members of government, academia, civil society, and the private sector.

“As a trusted AI advisor to governments around the world, we were thrilled to collaborate with the World Economic Forum and the government of the UK in the development of procurement guidelines that help the public sector put AI at the service of its constituents in a manner that is both efficient and ethical,” said Shelby Austin, Managing Partner, Growth & Investments and Omnia AI, Deloitte, Canada.

“As our societies reorganize and make progress in our fight against COVID-19, the need for multi-stakeholder cooperation has never been more apparent. We believe in these joint efforts, and we believe in the power of data-driven decision-making to help our countries recover and thrive.”

The result of the joint effort was the “Procurement in a Box” toolkit which provides guidance from conducting drafting proposals and conducting risk assessments, all the way to purchasing AI solutions and deploying them in a trusted manner.

A proposal for a chatbot allowing executives for the Dubai Electricity and Water Authority (DEWA) to obtain answers to data-related questions was used to test the guidelines. DEWA’s chatbot was successful and serves as an early example of how rapid but safe AI deployments can be achieved using the guidelines.

“In an era that will continue to be dominated by the transformative technologies emerging from the Fourth Industrial Revolution, integrating AI into the public sector for everyday use will significantly elevate the performance of government departments,” said Khalfan Belhoul, CEO of the Dubai Future Foundation, the host entity of Centre for the Fourth Industrial Revolution UAE.

You can find a copy of the Procurement in a Box toolkit here (PDF)

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Edison is an AI platform launched last year to help with leveraging data from imaging devices.

Kieran Murphy, President and CEO at GE Healthcare, says:

“We introduced Edison just one year ago at RSNA to help health providers take advantage of data in new and significant ways.

With the introduction of the Edison Developer Program, and a suite of new intelligent applications and smart devices powered by Edison, we are building on that promise as we continue to work with partners to realize our collective goal of advancing the future of health.”

While there’s significant interest in using AI for healthcare, the time it takes for implementing new innovations is “cumbersome and complex,” according to GE Healthcare.

GE Healthcare aims to serve clinicians’ need for a single solution to assist with integrating AI algorithms into existing workflows to help them, and therefore their patients, benefit from the potential of these new technologies much faster.

Market-ready AI applications will be deeply integrated into GE Healthcare’s vast existing solutions – on medical devices, in the cloud, or at the edge of the network.

Developers jumping aboard the new initiative will have the reach of GE Healthcare’s large userbase. GE Healthcare’s business reported $19 billion in revenue last year and spans 160 countries. On average, three patients are imaged with the company’s solutions every second.

“The Edison Developer Program exposes a number of potential capabilities of the Edison platform, including secure device connectivity, data aggregation for clinical context, advanced visualization, workflow and AI orchestration, in addition to a rich set of AI capabilities for data traceability, curation, annotation, model training and inferencing,” the company wrote in a press release.

“This set of services will reduce the complexity of developing and integrating AI and data-based healthcare applications in clinical workflows. Program members are selected and vetted based on rigorous clinical and technical evaluations as well as regulatory clearance to ensure confidence and security of solutions offered through the Edison platform.”

GE Healthcare is currently working with a range of AI and analytics companies including Arterys, iCAD, Koios Medical, MaxQ AI and Volpara.

Koios Medical, for example, built and deployed Breast Assistant – an AI-based risk assessment for breast cancer that aligns to a BI-RADS (Breast Imaging-Reporting and Data System) category.

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